Experienced Senior Data Science Analyst – E-commerce Data Analysis and Insights Generation
Introduction to Wayfair and Our Mission
At Wayfair, we're on a mission to create the best possible shopping experience for our customers, and we're looking for a talented Senior Data Science Analyst to join our team. As a leader in the e-commerce industry, we're committed to using data-driven insights to inform our business decisions and drive growth. Our team is passionate about using data to tell a story and make a meaningful impact on our customers' lives. If you're a motivated and results-driven individual with a passion for data analysis, we want to hear from you.
Job Overview
We're seeking a highly energetic and solution-focused Senior Data Science Analyst to join our Query and Recommendations Analysis team. As a key member of our team, you'll work closely with cross-functional partners, including engineers, AI engineers/data scientists, and product managers, to develop and implement data-driven solutions that drive business results. Your primary focus will be on analyzing large datasets to inform our product recommendation guide, identifying areas for improvement, and developing new testing and analysis methodologies.
Key Responsibilities
Design, run, and analyze the results of A/B tests of new recommendation algorithms and systems, as well as develop new testing and analysis methodologies
Develop and maintain KPI reporting and monitoring tools, including anomaly detection tools and advanced estimation approaches
Conduct exploratory data analysis (e.g., clustering/segmentation) to generate new insights and inform our product recommendation guide
Develop and maintain our in-house automated tools, such as a QA tool to better understand the performance of our new algorithms before A/B testing them
Run unconditional exploratory data analysis to identify groundbreaking ideas and potential opportunities
Plan and run A/B tests of our latest recommendation algorithms
Proactively monitor our recommendation models to identify potential issues, determine root causes, and resolve
Build new tools that allow us to be more efficient and effective
Work closely and build strong relationships with our product, engineering, and AI partners
Communicate key insights and recommendations to cross-functional executive leaders across the organization
Requirements and Qualifications
To be successful in this role, you'll need:
A Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science
Analysis or Data Science experience with e-commerce organizations, with a strong understanding of SQL (including total functions, query optimization, stored procedures, string parsing, Vertica/Hive/Voila/Flash, etc.)
In-depth experience with Python and Python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.)
Experience with experimental design (A/B tests) and statistical analysis to drive business independent direction, with a strong understanding of machine learning algorithms/procedures (decision trees, random forest, deep learning, etc.)
Strong written and verbal communication skills, with a collaborative mindset and ability to work effectively with cross-functional partners
A proven track record of taking ownership and driving results, with a strong business acumen, technical skills, and problem-solving abilities
Preferred Qualifications
Advanced degree in a quantitative field, such as a Master's or Ph.D. in mathematics, statistics, or computer science
Experience working with large datasets and distributed computing systems
Knowledge of cloud-based technologies, such as AWS or Google Cloud
Experience with data visualization tools, such as Tableau or Power BI
Strong understanding of statistical modeling and machine learning techniques
Career Growth and Development
At Wayfair, we're committed to helping our employees grow and develop in their careers. As a Senior Data Science Analyst, you'll have access to:
Ongoing training and professional development opportunities, including conferences, workshops, and online courses
Mentorship and coaching from experienced data scientists and leaders
Opportunities to work on high-impact projects and collaborate with cross-functional teams
A culture that values innovation, experimentation, and continuous learning
Work Environment and Company Culture
Our company culture is built on a foundation of transparency, collaboration, and mutual respect. We believe in:
Creating a positive and inclusive work environment that values diversity and promotes equal opportunities
Fostering a culture of open communication, feedback, and continuous learning
Recognizing and rewarding outstanding performance and contributions
Providing a healthy work-life balance and supporting employee well-being
Compensation and Benefits
We offer a competitive salary range of $20-30 per hour, as well as a comprehensive benefits package that includes:
Medical, dental, and vision insurance
401(k) matching and retirement savings plan
Paid time off and holidays
Flexible work arrangements and remote work options
Access to employee discounts and perks
Conclusion
If you're a motivated and results-driven Senior Data Science Analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. At Wayfair, we're committed to creating a positive and inclusive work environment that values diversity and promotes equal opportunities. Join our team and help us drive business growth and innovation through data-driven insights.
Don't miss out on this opportunity to join a dynamic and growing company. Apply now and take the first step towards an exciting and rewarding career as a Senior Data Science Analyst at Wayfair.
Apply Now
At Wayfair, we're on a mission to create the best possible shopping experience for our customers, and we're looking for a talented Senior Data Science Analyst to join our team. As a leader in the e-commerce industry, we're committed to using data-driven insights to inform our business decisions and drive growth. Our team is passionate about using data to tell a story and make a meaningful impact on our customers' lives. If you're a motivated and results-driven individual with a passion for data analysis, we want to hear from you.
Job Overview
We're seeking a highly energetic and solution-focused Senior Data Science Analyst to join our Query and Recommendations Analysis team. As a key member of our team, you'll work closely with cross-functional partners, including engineers, AI engineers/data scientists, and product managers, to develop and implement data-driven solutions that drive business results. Your primary focus will be on analyzing large datasets to inform our product recommendation guide, identifying areas for improvement, and developing new testing and analysis methodologies.
Key Responsibilities
Design, run, and analyze the results of A/B tests of new recommendation algorithms and systems, as well as develop new testing and analysis methodologies
Develop and maintain KPI reporting and monitoring tools, including anomaly detection tools and advanced estimation approaches
Conduct exploratory data analysis (e.g., clustering/segmentation) to generate new insights and inform our product recommendation guide
Develop and maintain our in-house automated tools, such as a QA tool to better understand the performance of our new algorithms before A/B testing them
Run unconditional exploratory data analysis to identify groundbreaking ideas and potential opportunities
Plan and run A/B tests of our latest recommendation algorithms
Proactively monitor our recommendation models to identify potential issues, determine root causes, and resolve
Build new tools that allow us to be more efficient and effective
Work closely and build strong relationships with our product, engineering, and AI partners
Communicate key insights and recommendations to cross-functional executive leaders across the organization
Requirements and Qualifications
To be successful in this role, you'll need:
A Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science
Analysis or Data Science experience with e-commerce organizations, with a strong understanding of SQL (including total functions, query optimization, stored procedures, string parsing, Vertica/Hive/Voila/Flash, etc.)
In-depth experience with Python and Python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.)
Experience with experimental design (A/B tests) and statistical analysis to drive business independent direction, with a strong understanding of machine learning algorithms/procedures (decision trees, random forest, deep learning, etc.)
Strong written and verbal communication skills, with a collaborative mindset and ability to work effectively with cross-functional partners
A proven track record of taking ownership and driving results, with a strong business acumen, technical skills, and problem-solving abilities
Preferred Qualifications
Advanced degree in a quantitative field, such as a Master's or Ph.D. in mathematics, statistics, or computer science
Experience working with large datasets and distributed computing systems
Knowledge of cloud-based technologies, such as AWS or Google Cloud
Experience with data visualization tools, such as Tableau or Power BI
Strong understanding of statistical modeling and machine learning techniques
Career Growth and Development
At Wayfair, we're committed to helping our employees grow and develop in their careers. As a Senior Data Science Analyst, you'll have access to:
Ongoing training and professional development opportunities, including conferences, workshops, and online courses
Mentorship and coaching from experienced data scientists and leaders
Opportunities to work on high-impact projects and collaborate with cross-functional teams
A culture that values innovation, experimentation, and continuous learning
Work Environment and Company Culture
Our company culture is built on a foundation of transparency, collaboration, and mutual respect. We believe in:
Creating a positive and inclusive work environment that values diversity and promotes equal opportunities
Fostering a culture of open communication, feedback, and continuous learning
Recognizing and rewarding outstanding performance and contributions
Providing a healthy work-life balance and supporting employee well-being
Compensation and Benefits
We offer a competitive salary range of $20-30 per hour, as well as a comprehensive benefits package that includes:
Medical, dental, and vision insurance
401(k) matching and retirement savings plan
Paid time off and holidays
Flexible work arrangements and remote work options
Access to employee discounts and perks
Conclusion
If you're a motivated and results-driven Senior Data Science Analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. At Wayfair, we're committed to creating a positive and inclusive work environment that values diversity and promotes equal opportunities. Join our team and help us drive business growth and innovation through data-driven insights.
Don't miss out on this opportunity to join a dynamic and growing company. Apply now and take the first step towards an exciting and rewarding career as a Senior Data Science Analyst at Wayfair.
Apply Now